Saravanakumar, SM and REVATHI, T (2024) Computer aided disease detection and prediction of novel corona virus disease using machine learning. Computer aided disease detection and prediction of novel corona virus disease using machine learning, 83. pp. 82177-82198.

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Abstract

Machine Learning is recent emerging technique in prediction of various health related
issues in medical system. It is very essential to predict the COVID-19 virus before it
spreads and afects an entire community. Machine Learning is being used to detect the
presence of COVID-19 virus as early as possible by analyzing patient’s health condi�tion and collecting data such as gender, age, Body Mass Index (BMI), asthma symptoms,
wheezing, dyspnea, respiratory failure, cough, blood sugar level etc., with this informa�tion used eighteen machine learning algorithms such as ELM, Logistic Regression, SGD,
KNN, SVM, QDA, LDA, XGBoost etc., to analyze the data and predict the presence of
COVID-19 virus. Table and Charts are plotted with the help of the results acquired from
the machine learning algorithm. As a result, early prediction of COVID-19 becomes pos�sible and huge loss in terms of both health and economy can be avo

Item Type: Article
Uncontrolled Keywords: Machine Learning · Computer Aided Disease Diagnosis · Corona Virus Disease · COVID19 · Lung Disease Diagnosis
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Dr. B Sivakumar
Date Deposited: 20 Apr 2026 05:39
Last Modified: 20 Apr 2026 05:39
URI: https://ir.psgcas.ac.in/id/eprint/2810

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